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Micah Bowles
Micah Bowles
Schmidt AI in Science Postdoctoral Fellow
Verified email at physics.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Attention-gating for improved radio galaxy classification
M Bowles, AMM Scaife, F Porter, H Tang, DJ Bastien
Monthly Notices of the Royal Astronomical Society 501 (3), 4579-4595, 2021
472021
Radio Galaxy Zoo: using semi-supervised learning to leverage large unlabelled data sets for radio galaxy classification under data set shift
IV Slijepcevic, AMM Scaife, M Walmsley, M Bowles, OI Wong, SS Shabala, ...
Monthly Notices of the Royal Astronomical Society 514 (2), 2599-2613, 2022
362022
Quantifying uncertainty in deep learning approaches to radio galaxy classification
D Mohan, AMM Scaife, F Porter, M Walmsley, M Bowles
Monthly Notices of the Royal Astronomical Society 511 (3), 3722-3740, 2022
222022
Structured variational inference for simulating populations of radio galaxies
DJ Bastien, AMM Scaife, H Tang, M Bowles, F Porter
Monthly Notices of the Royal Astronomical Society 503 (3), 3351-3370, 2021
192021
Radio galaxy zoo: towards building the first multipurpose foundation model for radio astronomy with self-supervised learning
IV Slijepcevic, AMM Scaife, M Walmsley, M Bowles, OI Wong, SS Shabala, ...
RAS Techniques and Instruments 3 (1), 19-32, 2024
182024
Zoobot: Adaptable Deep Learning Models for GalaxyMorphology
M Walmsley, C Allen, B Aussel, M Bowles, K Gregorowicz, IV Slijepcevic, ...
Journal of Open Source Software 8 (85), 2023
162023
Towards Galaxy Foundation Models with Hybrid Contrastive Learning
M Walmsley, IV Slijepcevic, M Bowles, AMM Scaife
ICML 2022: Machine Learning for Astrophysics Workshop, 2022
162022
MIGHTEE polarization early science fields: the deep polarized sky
AR Taylor, S Sekhar, L Heino, AMM Scaife, J Stil, M Bowles, M Jarvis, ...
Monthly Notices of the Royal Astronomical Society 528 (2), 2511-2522, 2024
102024
Learning useful representations for radio astronomy" in the wild" with contrastive learning
IV Slijepcevic, AMM Scaife, M Walmsley, M Bowles
ICML 2022: Machine Learning for Astrophysics Workshop, 2022
102022
Radio galaxy zoo EMU: towards a semantic radio galaxy morphology taxonomy
M Bowles, H Tang, E Vardoulaki, EL Alexander, Y Luo, L Rudnick, ...
Monthly Notices of the Royal Astronomical Society 522 (2), 2584-2600, 2023
82023
E (2) Equivariant Self-Attention for Radio Astronomy
M Bowles, M Bromley, M Allen, A Scaife
NeurIPS 2021: Machine Learning for the Physical Sciences Workshop, 2021
52021
Interactions among intermediate redshift galaxies-The case of SDSS J134420. 86+ 663717.8
P Misquitta, M Bowles, A Eckart, M Yttergren, G Busch, M Valencia-S, ...
Astronomy & Astrophysics 639, A30, 2020
32020
A New Task: Deriving Semantic Class Targets for the Physical Sciences
M Bowles, H Tang, E Vardoulaki, EL Alexander, Y Luo, L Rudnick, ...
NeurIPS 2022: Machine Learning for the Physical Sciences Workshop, 2022
22022
Bayesian Imaging for Radio Interferometry with Score-Based Priors
N Dia, MJ Yantovski-Barth, A Adam, M Bowles, P Lemos, AMM Scaife, ...
arXiv preprint arXiv:2311.18012, 2023
12023
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data
E Angeloudi, J Audenaert, M Bowles, BM Boyd, D Chemaly, B Cherinka, ...
The Thirty-eight Conference on Neural Information Processing Systems …, 2024
2024
Scaling Laws for Galaxy Images
M Walmsley, M Bowles, AMM Scaife, JS Makechemu, AJ Gordon, ...
arXiv preprint arXiv:2404.02973, 2024
2024
A Compressed Sensing Faraday Depth Reconstruction Framework for the MeerKAT MIGHTEE-POL Survey
M Cárcamo, A Scaife, R Taylor, M Jarvis, M Bowles, S Sekhar, L Heino, ...
3rd URSI AT-AP-RASC, 2022
2022
Paying Attention to Radio Astronomy Data
M Bowles
PQDT-Global, 2021
2021
Astrophysically Informed Priors for Self-Attention Classification in Radio Astronomy
M Bowles, A Scaife
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Articles 1–19